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Worldwide population variation in pelvic sexual dimorphism: A validation and recalibration of the Klales et al. method
Abstract
Sex estimation is an integral aspect of biological anthropology. Correctly estimating sex is the first step to many subsequent analyses, such as estimating living stature or age-at-death. Klales et al. (2012) [6] provided a revised version of the Phenice (1969) [3] method that expanded the original three traits (ventral arc, subpubic concavity/contour, and medial aspect of the ischio-pubic ramus) into five character states to capture varying degrees of expression within each trait. The Klales et al. (2012) [6] method also provided associated probabilities with each sex classification, which is of particular importance in forensic anthropology. However, the external validity of this method must be tested prior to applying the method to different populations from which the method was developed. A total of 1915 innominates from four diverse geographic populations: (1) U.S. Blacks and Whites; (2) South African Blacks and Whites; (3) Thai; and (4) unidentified Hispanic border crossers were scored in accordance with Klales et al. (2012) [6]. Trait scores for each innominate were entered into the equation provided by Klales et al. (2012) [6] for external validation. Additionally, recalibration equations were calculated with logistic regression for each population and for a pooled global sample. Validation accuracies ranged from 87.5% to 95.6% and recalibration equation accuracies ranged from 89.6% to 98% total correct. Pooling all samples and using Klales' et al. (2012) [6] equation…
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“Utilizing, Kenyhercz and colleagues’ (2017) and Klales and colleagues’ (2012) methodologies to calculate probabilities, the results suggest that Individual A is more likely to be female than male (probability female for the left os coxa = 76.34%, probability female for the right os coxa = 42.00%) (Kohler et al. 2022).”
From The Land of Opportunity: Bioarchaeological Perspectives of Women’s Lives in the Industrial Expansion into the Western UNITED STATES (1850–1915) (2024) · cites this paper as Kenyhercz et al. 2017
Citations
Cites
A newly developed visual method of sexing the os pubis
Phenice, T. W. (1969) · American Journal of Physical Anthropology · doi:10.1002/ajpa.1330300214 · Cited by 1,625
Research works printed but not linked: 8
- Klales, 2012, A revised method of sexing the human innominate using Phenice’s nonmetric traits and statistical methods, Am. J. Phys. Anthropol., 149, 104, 10.1002/ajpa.22102 · DOI · Paper page
- Gómez-Valdés, 2017, Recalibration of the Klales et al. 2012 method of sexing the human innominate for Mexican populations, Am. J. Phys. Anthropol., 162, 600, 10.1002/ajpa.23157 · DOI
- Klales, 2016, Improving nonmetric sex classification for Hispanic individuals, J Forensic Sci
- Press, 1978, Choosing between logistic regression and discriminant Analysis, J. Am. Stat. Assoc., 73, 699, 10.1080/01621459.1978.10480080 · DOI
- Mahakkanukrauh, 2015, Craniometric study for sex determination in a Thai population, Anat. Cell Biol., 48, 275, 10.5115/acb.2015.48.4.275 · DOI
- L’Abbé, 2013, Application of Fordisc 3.0 to explore differences among crania of North American and South African blacks and whites, J. Forensic Sci., 58, 1579, 10.1111/1556-4029.12198 · DOI
- Guégan, 2000, Human fertility variation, size-related obstetrical performance and the evolution of sexual stature dimorphism, Proc. R. Soc. Lond., 267, 2529, 10.1098/rspb.2000.1316 · DOI
- Klales, 2016, Secular change in morphological pelvic traits used for sex estimation, J. Forensic Sci., 61, 295, 10.1111/1556-4029.13008 · DOI
Cited by
Sorted by citations
Ferrell, M. J., Schultz, J. J., & Adams, D. M. (2024) · Journal of Forensic Sciences · doi:10.1111/1556-4029.15522 · Cited by 13
P. Anderson, C., P. Harrod, R., & M. Baustian, K. (2024) · International Journal of Historical Archaeology · doi:10.1007/s10761-024-00744-8
Metadata
- Authors
- Kenyhercz, M. W., Klales, A. R., Stull, K. E., McCormick, K. A., & Cole, S. J.
- Venue
- Forensic Science International
- Publisher
- Elsevier BV
- Published
- 2017-08
- Volume
- 277
- Pages
- 259.e1-259.e8
- ISSN
- 0379-0738
- Cited by
- 50
- References
- 1
- Language
- en
- Funders
- National Institute of Justice (2015-DN-BX-K014)
- U.S. Department of Justice
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- CoChat. (2026). Citation check: Worldwide population variation in pelvic sexual dimorphism: A validation and recalibration of the Klales et al. method. https://app.cochat.ai/papers/10.1016/j.forsciint.2017.05.001
- The paper
- Kenyhercz, M. W., Klales, A. R., Stull, K. E., McCormick, K. A., & Cole, S. J. (2017). Worldwide population variation in pelvic sexual dimorphism: A validation and recalibration of the Klales et al. method. Forensic Science International. https://doi.org/10.1016/j.forsciint.2017.05.001